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layer_index	layer_name	layer_type	layer_shape	layer_duration (us)	layer_allocated_bytes	layer_peak_allocated_bytes	layer_allocator_bytes_in_use	layer_allocator_name	layer_host_temp_mem_bytes	layer_device_temp_mem_bytes	layer_host_persistent_mem_bytes	layer_device_persistent_mem_bytes

layer_index	layer_name	layer_type	layer_shape	layer_duration (us)
0	mobilenetv20_features_conv0_fwd	Convolution	[1,3,224,224]	5465.333
1	mobilenetv20_features_batchnorm0_fwd	BatchNorm	[1,32,112,112]	137.667
2	mobilenetv20_features_relu60_relu6	clip	[1,32,112,112]	65.667
3	mobilenetv20_features_linearbottleneck0_conv0_fwd	Convolution	[1,32,112,112]	6476.667
4	mobilenetv20_features_linearbottleneck0_batchnorm0_fwd	BatchNorm	[1,32,112,112]	121
5	mobilenetv20_features_linearbottleneck0_relu60_relu6	clip	[1,32,112,112]	64.667
6	mobilenetv20_features_linearbottleneck0_conv1_fwd	Convolution	[1,32,112,112]	6290
7	mobilenetv20_features_linearbottleneck0_batchnorm1_fwd	BatchNorm	[1,32,112,112]	280.333
8	mobilenetv20_features_linearbottleneck0_relu61_relu6	clip	[1,32,112,112]	70
9	mobilenetv20_features_linearbottleneck0_conv2_fwd	Convolution	[1,32,112,112]	3549
10	mobilenetv20_features_linearbottleneck0_batchnorm2_fwd	BatchNorm	[1,16,112,112]	96.333
11	mobilenetv20_features_linearbottleneck1_conv0_fwd	Convolution	[1,16,112,112]	5415.333
12	mobilenetv20_features_linearbottleneck1_batchnorm0_fwd	BatchNorm	[1,96,112,112]	225.333
13	mobilenetv20_features_linearbottleneck1_relu60_relu6	clip	[1,96,112,112]	199.667
14	mobilenetv20_features_linearbottleneck1_conv1_fwd	Convolution	[1,96,112,112]	5056.333
15	mobilenetv20_features_linearbottleneck1_batchnorm1_fwd	BatchNorm	[1,96,56,56]	112.333
16	mobilenetv20_features_linearbottleneck1_relu61_relu6	clip	[1,96,56,56]	67.667
17	mobilenetv20_features_linearbottleneck1_conv2_fwd	Convolution	[1,96,56,56]	1154
18	mobilenetv20_features_linearbottleneck1_batchnorm2_fwd	BatchNorm	[1,24,56,56]	27.667
19	mobilenetv20_features_linearbottleneck2_conv0_fwd	Convolution	[1,24,56,56]	2472.667
20	mobilenetv20_features_linearbottleneck2_batchnorm0_fwd	BatchNorm	[1,144,56,56]	113
21	mobilenetv20_features_linearbottleneck2_relu60_relu6	clip	[1,144,56,56]	74.667
22	mobilenetv20_features_linearbottleneck2_conv1_fwd	Convolution	[1,144,56,56]	7153.667
23	mobilenetv20_features_linearbottleneck2_batchnorm1_fwd	BatchNorm	[1,144,56,56]	127.333
24	mobilenetv20_features_linearbottleneck2_relu61_relu6	clip	[1,144,56,56]	106
25	mobilenetv20_features_linearbottleneck2_conv2_fwd	Convolution	[1,144,56,56]	1749.333
26	mobilenetv20_features_linearbottleneck2_batchnorm2_fwd	BatchNorm	[1,24,56,56]	46.333
27	mobilenetv20_features_linearbottleneck2_elemwise_add0	elemwise_add	[1,24,56,56]	22
28	mobilenetv20_features_linearbottleneck3_conv0_fwd	Convolution	[1,24,56,56]	2730
29	mobilenetv20_features_linearbottleneck3_batchnorm0_fwd	BatchNorm	[1,144,56,56]	112.333
30	mobilenetv20_features_linearbottleneck3_relu60_relu6	clip	[1,144,56,56]	82.667
31	mobilenetv20_features_linearbottleneck3_conv1_fwd	Convolution	[1,144,56,56]	1982.333
32	mobilenetv20_features_linearbottleneck3_batchnorm1_fwd	BatchNorm	[1,144,28,28]	53.333
33	mobilenetv20_features_linearbottleneck3_relu61_relu6	clip	[1,144,28,28]	31.667
34	mobilenetv20_features_linearbottleneck3_conv2_fwd	Convolution	[1,144,28,28]	570.333
35	mobilenetv20_features_linearbottleneck3_batchnorm2_fwd	BatchNorm	[1,32,28,28]	20
36	mobilenetv20_features_linearbottleneck4_conv0_fwd	Convolution	[1,32,28,28]	820
37	mobilenetv20_features_linearbottleneck4_batchnorm0_fwd	BatchNorm	[1,192,28,28]	39
38	mobilenetv20_features_linearbottleneck4_relu60_relu6	clip	[1,192,28,28]	31
39	mobilenetv20_features_linearbottleneck4_conv1_fwd	Convolution	[1,192,28,28]	2461.333
40	mobilenetv20_features_linearbottleneck4_batchnorm1_fwd	BatchNorm	[1,192,28,28]	88.667
41	mobilenetv20_features_linearbottleneck4_relu61_relu6	clip	[1,192,28,28]	39.333
42	mobilenetv20_features_linearbottleneck4_conv2_fwd	Convolution	[1,192,28,28]	755.667
43	mobilenetv20_features_linearbottleneck4_batchnorm2_fwd	BatchNorm	[1,32,28,28]	21.667
44	mobilenetv20_features_linearbottleneck4_elemwise_add0	elemwise_add	[1,32,28,28]	14.333
45	mobilenetv20_features_linearbottleneck5_conv0_fwd	Convolution	[1,32,28,28]	906.333
46	mobilenetv20_features_linearbottleneck5_batchnorm0_fwd	BatchNorm	[1,192,28,28]	30.667
47	mobilenetv20_features_linearbottleneck5_relu60_relu6	clip	[1,192,28,28]	34
48	mobilenetv20_features_linearbottleneck5_conv1_fwd	Convolution	[1,192,28,28]	2434.667
49	mobilenetv20_features_linearbottleneck5_batchnorm1_fwd	BatchNorm	[1,192,28,28]	87.667
50	mobilenetv20_features_linearbottleneck5_relu61_relu6	clip	[1,192,28,28]	39.667
51	mobilenetv20_features_linearbottleneck5_conv2_fwd	Convolution	[1,192,28,28]	764.667
52	mobilenetv20_features_linearbottleneck5_batchnorm2_fwd	BatchNorm	[1,32,28,28]	19.333
53	mobilenetv20_features_linearbottleneck5_elemwise_add0	elemwise_add	[1,32,28,28]	13.333
54	mobilenetv20_features_linearbottleneck6_conv0_fwd	Convolution	[1,32,28,28]	894.333
55	mobilenetv20_features_linearbottleneck6_batchnorm0_fwd	BatchNorm	[1,192,28,28]	31.333
56	mobilenetv20_features_linearbottleneck6_relu60_relu6	clip	[1,192,28,28]	34
57	mobilenetv20_features_linearbottleneck6_conv1_fwd	Convolution	[1,192,28,28]	709.333
58	mobilenetv20_features_linearbottleneck6_batchnorm1_fwd	BatchNorm	[1,192,14,14]	23
59	mobilenetv20_features_linearbottleneck6_relu61_relu6	clip	[1,192,14,14]	17.333
60	mobilenetv20_features_linearbottleneck6_conv2_fwd	Convolution	[1,192,14,14]	332.667
61	mobilenetv20_features_linearbottleneck6_batchnorm2_fwd	BatchNorm	[1,64,14,14]	19
62	mobilenetv20_features_linearbottleneck7_conv0_fwd	Convolution	[1,64,14,14]	597.333
63	mobilenetv20_features_linearbottleneck7_batchnorm0_fwd	BatchNorm	[1,384,14,14]	29
64	mobilenetv20_features_linearbottleneck7_relu60_relu6	clip	[1,384,14,14]	20
65	mobilenetv20_features_linearbottleneck7_conv1_fwd	Convolution	[1,384,14,14]	1340.333
66	mobilenetv20_features_linearbottleneck7_batchnorm1_fwd	BatchNorm	[1,384,14,14]	31.667
67	mobilenetv20_features_linearbottleneck7_relu61_relu6	clip	[1,384,14,14]	23.333
68	mobilenetv20_features_linearbottleneck7_conv2_fwd	Convolution	[1,384,14,14]	670.333
69	mobilenetv20_features_linearbottleneck7_batchnorm2_fwd	BatchNorm	[1,64,14,14]	19
70	mobilenetv20_features_linearbottleneck7_elemwise_add0	elemwise_add	[1,64,14,14]	15
71	mobilenetv20_features_linearbottleneck8_conv0_fwd	Convolution	[1,64,14,14]	598
72	mobilenetv20_features_linearbottleneck8_batchnorm0_fwd	BatchNorm	[1,384,14,14]	24
73	mobilenetv20_features_linearbottleneck8_relu60_relu6	clip	[1,384,14,14]	22
74	mobilenetv20_features_linearbottleneck8_conv1_fwd	Convolution	[1,384,14,14]	1333.667
75	mobilenetv20_features_linearbottleneck8_batchnorm1_fwd	BatchNorm	[1,384,14,14]	32.667
76	mobilenetv20_features_linearbottleneck8_relu61_relu6	clip	[1,384,14,14]	23
77	mobilenetv20_features_linearbottleneck8_conv2_fwd	Convolution	[1,384,14,14]	658
78	mobilenetv20_features_linearbottleneck8_batchnorm2_fwd	BatchNorm	[1,64,14,14]	18
79	mobilenetv20_features_linearbottleneck8_elemwise_add0	elemwise_add	[1,64,14,14]	13.667
80	mobilenetv20_features_linearbottleneck9_conv0_fwd	Convolution	[1,64,14,14]	596.333
81	mobilenetv20_features_linearbottleneck9_batchnorm0_fwd	BatchNorm	[1,384,14,14]	24.667
82	mobilenetv20_features_linearbottleneck9_relu60_relu6	clip	[1,384,14,14]	20.667
83	mobilenetv20_features_linearbottleneck9_conv1_fwd	Convolution	[1,384,14,14]	1335.333
84	mobilenetv20_features_linearbottleneck9_batchnorm1_fwd	BatchNorm	[1,384,14,14]	32
85	mobilenetv20_features_linearbottleneck9_relu61_relu6	clip	[1,384,14,14]	20
86	mobilenetv20_features_linearbottleneck9_conv2_fwd	Convolution	[1,384,14,14]	658.667
87	mobilenetv20_features_linearbottleneck9_batchnorm2_fwd	BatchNorm	[1,64,14,14]	18.667
88	mobilenetv20_features_linearbottleneck9_elemwise_add0	elemwise_add	[1,64,14,14]	14.333
89	mobilenetv20_features_linearbottleneck10_conv0_fwd	Convolution	[1,64,14,14]	599.333
90	mobilenetv20_features_linearbottleneck10_batchnorm0_fwd	BatchNorm	[1,384,14,14]	24
91	mobilenetv20_features_linearbottleneck10_relu60_relu6	clip	[1,384,14,14]	21.667
92	mobilenetv20_features_linearbottleneck10_conv1_fwd	Convolution	[1,384,14,14]	1325.333
93	mobilenetv20_features_linearbottleneck10_batchnorm1_fwd	BatchNorm	[1,384,14,14]	29.667
94	mobilenetv20_features_linearbottleneck10_relu61_relu6	clip	[1,384,14,14]	20.333
95	mobilenetv20_features_linearbottleneck10_conv2_fwd	Convolution	[1,384,14,14]	928.667
96	mobilenetv20_features_linearbottleneck10_batchnorm2_fwd	BatchNorm	[1,96,14,14]	19.333
97	mobilenetv20_features_linearbottleneck11_conv0_fwd	Convolution	[1,96,14,14]	1255
98	mobilenetv20_features_linearbottleneck11_batchnorm0_fwd	BatchNorm	[1,576,14,14]	34.333
99	mobilenetv20_features_linearbottleneck11_relu60_relu6	clip	[1,576,14,14]	24
100	mobilenetv20_features_linearbottleneck11_conv1_fwd	Convolution	[1,576,14,14]	1997
101	mobilenetv20_features_linearbottleneck11_batchnorm1_fwd	BatchNorm	[1,576,14,14]	62.333
102	mobilenetv20_features_linearbottleneck11_relu61_relu6	clip	[1,576,14,14]	25.667
103	mobilenetv20_features_linearbottleneck11_conv2_fwd	Convolution	[1,576,14,14]	1397.333
104	mobilenetv20_features_linearbottleneck11_batchnorm2_fwd	BatchNorm	[1,96,14,14]	19
105	mobilenetv20_features_linearbottleneck11_elemwise_add0	elemwise_add	[1,96,14,14]	13.667
106	mobilenetv20_features_linearbottleneck12_conv0_fwd	Convolution	[1,96,14,14]	1254
107	mobilenetv20_features_linearbottleneck12_batchnorm0_fwd	BatchNorm	[1,576,14,14]	28.667
108	mobilenetv20_features_linearbottleneck12_relu60_relu6	clip	[1,576,14,14]	26
109	mobilenetv20_features_linearbottleneck12_conv1_fwd	Convolution	[1,576,14,14]	2008
110	mobilenetv20_features_linearbottleneck12_batchnorm1_fwd	BatchNorm	[1,576,14,14]	65
111	mobilenetv20_features_linearbottleneck12_relu61_relu6	clip	[1,576,14,14]	24.333
112	mobilenetv20_features_linearbottleneck12_conv2_fwd	Convolution	[1,576,14,14]	1391.667
113	mobilenetv20_features_linearbottleneck12_batchnorm2_fwd	BatchNorm	[1,96,14,14]	19.333
114	mobilenetv20_features_linearbottleneck12_elemwise_add0	elemwise_add	[1,96,14,14]	13.333
115	mobilenetv20_features_linearbottleneck13_conv0_fwd	Convolution	[1,96,14,14]	1255
116	mobilenetv20_features_linearbottleneck13_batchnorm0_fwd	BatchNorm	[1,576,14,14]	30.667
117	mobilenetv20_features_linearbottleneck13_relu60_relu6	clip	[1,576,14,14]	26
118	mobilenetv20_features_linearbottleneck13_conv1_fwd	Convolution	[1,576,14,14]	679
119	mobilenetv20_features_linearbottleneck13_batchnorm1_fwd	BatchNorm	[1,576,7,7]	23
120	mobilenetv20_features_linearbottleneck13_relu61_relu6	clip	[1,576,7,7]	13.667
121	mobilenetv20_features_linearbottleneck13_conv2_fwd	Convolution	[1,576,7,7]	706.667
122	mobilenetv20_features_linearbottleneck13_batchnorm2_fwd	BatchNorm	[1,160,7,7]	21.667
123	mobilenetv20_features_linearbottleneck14_conv0_fwd	Convolution	[1,160,7,7]	1115.667
124	mobilenetv20_features_linearbottleneck14_batchnorm0_fwd	BatchNorm	[1,960,7,7]	26.333
125	mobilenetv20_features_linearbottleneck14_relu60_relu6	clip	[1,960,7,7]	17.333
126	mobilenetv20_features_linearbottleneck14_conv1_fwd	Convolution	[1,960,7,7]	1082.667
127	mobilenetv20_features_linearbottleneck14_batchnorm1_fwd	BatchNorm	[1,960,7,7]	25.333
128	mobilenetv20_features_linearbottleneck14_relu61_relu6	clip	[1,960,7,7]	17.333
129	mobilenetv20_features_linearbottleneck14_conv2_fwd	Convolution	[1,960,7,7]	1146
130	mobilenetv20_features_linearbottleneck14_batchnorm2_fwd	BatchNorm	[1,160,7,7]	19.333
131	mobilenetv20_features_linearbottleneck14_elemwise_add0	elemwise_add	[1,160,7,7]	14.667
132	mobilenetv20_features_linearbottleneck15_conv0_fwd	Convolution	[1,160,7,7]	1118.333
133	mobilenetv20_features_linearbottleneck15_batchnorm0_fwd	BatchNorm	[1,960,7,7]	26.667
134	mobilenetv20_features_linearbottleneck15_relu60_relu6	clip	[1,960,7,7]	16
135	mobilenetv20_features_linearbottleneck15_conv1_fwd	Convolution	[1,960,7,7]	1066
136	mobilenetv20_features_linearbottleneck15_batchnorm1_fwd	BatchNorm	[1,960,7,7]	32.333
137	mobilenetv20_features_linearbottleneck15_relu61_relu6	clip	[1,960,7,7]	15.667
138	mobilenetv20_features_linearbottleneck15_conv2_fwd	Convolution	[1,960,7,7]	1146
139	mobilenetv20_features_linearbottleneck15_batchnorm2_fwd	BatchNorm	[1,160,7,7]	20.667
140	mobilenetv20_features_linearbottleneck15_elemwise_add0	elemwise_add	[1,160,7,7]	14.333
141	mobilenetv20_features_linearbottleneck16_conv0_fwd	Convolution	[1,160,7,7]	1120
142	mobilenetv20_features_linearbottleneck16_batchnorm0_fwd	BatchNorm	[1,960,7,7]	28
143	mobilenetv20_features_linearbottleneck16_relu60_relu6	clip	[1,960,7,7]	15.333
144	mobilenetv20_features_linearbottleneck16_conv1_fwd	Convolution	[1,960,7,7]	1072.667
145	mobilenetv20_features_linearbottleneck16_batchnorm1_fwd	BatchNorm	[1,960,7,7]	27.333
146	mobilenetv20_features_linearbottleneck16_relu61_relu6	clip	[1,960,7,7]	14.667
147	mobilenetv20_features_linearbottleneck16_conv2_fwd	Convolution	[1,960,7,7]	2239.667
148	mobilenetv20_features_linearbottleneck16_batchnorm2_fwd	BatchNorm	[1,320,7,7]	57
149	mobilenetv20_features_conv1_fwd	Convolution	[1,320,7,7]	2999.333
150	mobilenetv20_features_batchnorm1_fwd	BatchNorm	[1,1280,7,7]	89.667
151	mobilenetv20_features_relu61_relu6	clip	[1,1280,7,7]	17
152	mobilenetv20_features_pool0_fwd	Pooling	[1,1280,7,7]	103.333
153	mobilenetv20_output_pred_fwd	Convolution	[1,1280,1,1]	2382
154	mobilenetv20_output_flatten0_flatten0	Flatten	[1,1000,1,1]	3

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